Functional Responsibilities

The Geospatial Data Analyst will be responsible for the following tasks:

1. Data Acquisition and Management:

• Collect, process, and manage geospatial data from multiple sources, including satellite imagery, aerial photography, GPS, and spatial databases.
• Incorporate open-source geospatial datasets where appropriate to complement project-specific data.
• Validate data to ensure quality, accuracy, and consistency, applying appropriate control procedures.
• Develop and maintain a structured geospatial data system, including metadata management and secure storage.

2. Analysis and Visualization:

• Conduct spatial analysis, including time-series or change detection, using GIS and remote sensing tools to identify trends and support monitoring.
• Create maps, charts, dashboards, and storymaps. Ensure outputs are accessible, inclusive, and relevant to diverse stakeholders.
• Run spatial models and simulations to support scenario planning and evidence-based decision-making.

3. Technical Support to Projects:

• Provide technical input to project teams on geospatial data use and interpretation.
• Support field teams with ground-truthing and deliver practical training on geospatial methods as needed.
• Contribute to project reporting through regular updates, visuals, and geospatial analysis summaries.
• Collaborate with engineers, planners, and community representatives to integrate spatial insights into design and delivery.
• Present technical information clearly and concisely to audiences with varying levels of expertise.
• Contribute to capacity strengthening of project teams in geospatial methods and tools.

4. Reporting and Compliance:

• Comply with UNOPS policies and procedures, including those related to procurement, finance, and reporting.
• Maintain complete, accurate records and documentation of geospatial activities.
• Ensure ethical handling and protection of sensitive geospatial data, following relevant data protection policies.

Impact of Results:

• Clean, structured geospatial datasets.
• Interactive web-based maps or spatial portals, where applicable.
• Thematic maps, GIS dashboards, and interactive storymaps.
• Spatial models and technical analysis reports.
• Documentation of methods, tools, and workflows.
• Reproducible scripts for data processing, e.g., in Python or similar.
• Training materials and user guides for geospatial tools and workflows.

Education/Experience/Language requirements

Experience: